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A generalized golden rule representative value for multiple-criteria decision analysis

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Liu, Z, Xiao, F, Lin, C-T, Kang, BH ORCID: 0000-0003-3476-8838 and Cao, Z ORCID: 0000-0003-3656-0328 2019 , 'A generalized golden rule representative value for multiple-criteria decision analysis' , IEEE Transactions on Systems, Man, and Cybernetics: Systems , pp. 1-12 , doi: 10.1109/TSMC.2019.2919243.

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Abstract

Multicriteria decision analysis evaluates multiple conflicting criteria in decision making, but conflicting criteria are typical in evaluating options. As the existing ordering operations involved in multicriteria decision making cannot easily be implemented with intervals, we assume that scalar representative values with intervals can effectively avoid this issue. To deal with interval-valued criteria, we propose a generalized golden rule representative value approach, which involves the sigmoid function of backpropagation neural networks to tune parameters. Our approach considers the uncertainties and side effects of the interval variables to improve individual scalar representative values. Based on numerical examples, we address the effectiveness of the proposed approach, and we provide a specific application concerning multicriteria decision making with interval criteria satisfaction.

Item Type: Article
Authors/Creators:Liu, Z and Xiao, F and Lin, C-T and Kang, BH and Cao, Z
Keywords: comparison system, golden rule representative value, interval valued, multicriteria decision function, sigmoid function, uncertainty, uzzy rule
Journal or Publication Title: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 2168-2216
DOI / ID Number: 10.1109/TSMC.2019.2919243
Copyright Information:

Copyright 2019 IEEE.

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